Evidence map›Paper›PMID 36773018›Full record

ArticleAnnals of medicine2023

Chronic disease clusters are associated with prolonged, bothersome, and multisite musculoskeletal pain: a population-based study on Northern Finns.

Eveliina Heikkala, Petteri Oura, Markus Paananen, Emma Ho, Paulo Ferreira, Christophe Tanguay-Sabourin, Jaro Karppinen

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Eveliina HeikkalaResearch Unit of Population Health, University of Oulu, Oulu, Finland.ORCID 0000-0001-7156-491X
Petteri OuraResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Markus PaananenResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Emma HoSydney Musculoskeletal Health, School of Health Sciences, Charles Perkins Centre, University of Sydney, Sydney, Australia.
Paulo FerreiraSydney Musculoskeletal Health, School of Health Sciences, Charles Perkins Centre, University of Sydney, Sydney, Australia.
Christophe Tanguay-SabourinAlan Edwards Pain Centre for Research on Pain, McGill University, Montreal, Canada.
Jaro KarppinenResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Oulu University Hospital · FIThe University of Sydney · AUMcGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic diseases often accumulate with musculoskeletal (MSK) pain. However, less evidence is available on idiosyncratic patterns of chronic diseases and their relationships with the severity of MSK pain in general MSK pain populations. MATERIAL AND

methodsQuestionnaire-based data on physician-diagnosed chronic diseases, MSK pain and its dimensions (frequency, intensity, bothersomeness, and the number of pain sites), and confounders were collected from the Northern Finland Birth Cohort 1966 at the age of 46. Latent Class Analysis (LCA) was used to identify chronic disease clusters among individuals who reported any MSK pain within the previous year (

resultsLCA resulted in three clusters:

conclusionsDistinct patterns of chronic disease accumulation can be identified in the general MSK pain population. It seems that mental and metabolic health are at interplay with severe MSK pain. These findings suggest a potential need to screen for psychiatric and metabolic entities of health when treating working-aged people with MSK pain.Key messagesThis large study on middle-aged people with musculoskeletal pain aimed to examine the idiosyncratic patterns of chronic diseases and their relationships with the severity of musculoskeletal pain. Latent class cluster analysis identified three chronic disease clusters:

Indexed as

Musculoskeletal PainAgedChronic DiseaseDisease HotspotFinlandHumansMiddle AgedSurveys and Questionnaireschronic diseasescohort studyMusculoskeletal painpain severity

Identifiers

PMID36773018
PMCPMC9930817
OpenAlexW4320033042

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.